skip to main content
Caltech

Center for Social Information Sciences (CSIS) Seminar

Friday, September 22, 2023
12:00pm to 1:00pm
Add to Cal
Baxter Lecture Hall
Ex-Ante Design of Persuasion Games
Daniel Luo, PhD Candidate and NSF Graduate Research Fellow, MIT,

Abstract: We study the design of persuasion games – settings where many senders commit to report statistical data about their unrealized private information to a receiver who seeks to implement some arbitrary allocation rule. To characterize the set of implementable equilibrium allocations, we develop a revelation principle for settings where sender reports are Blackwell experiments as opposed to type-dependent messages. This allows incentive constraints to be formulated as a convex program which depends jointly on the ``worst-case'' punishments prescribed at each posterior belief and the allocation rule. We next introduce an iterative two-step algorithm which simplifies the set of posteriors that pin down implementability. Finally, we apply our results to analyze the impact of ex-ante uncertainty on strategic behavior in several settings, including contest design, disclosure in teams, and matching with preference uncertainty.

For more information, please contact Letty Diaz by phone at 626-395-1255 or by email at [email protected].